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This is the official repository of the EMNLP 2023 paper Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.

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Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

This is the official repository of the EMNLP 2023 paper Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.

  • We have currently released the revised datasets FUNSD-r and CORD-r at Token-Path-Prediction-Datasets.
  • We apologize that due to the policies of Ant Group, the open-sourcing of the TPP project code continues to be postponed. It is recommended to refer to unofficial implementations of this work. If you find any trouble to re-implement the experiment results after checking the issues of this repository, please contact: chongzhang20@fudan.edu.cn.

Token Path Prediction

If our work is helpful to you, please kindly cite the paper as:

@misc{zhang2023reading,
      title={Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction}, 
      author={Chong Zhang and Ya Guo and Yi Tu and Huan Chen and Jinyang Tang and Huijia Zhu and Qi Zhang and Tao Gui},
      year={2023},
      eprint={2310.11016},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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This is the official repository of the EMNLP 2023 paper Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.

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